A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations in the Presence of a Baseline Covariate

A Bayesian adaptive design for dose finding of a combination of two drugs in cancer phase I clinical trials that takes into account patients heterogeneity thought to be related to treatment susceptibility is described. The estimation of the maximum tolerated dose (MTD) curve is a function of a basel...

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Bibliographic Details
Main Authors: Márcio Augusto Diniz, Sungjin Kim, Mourad Tighiouart
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2018/8654173
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